估计印度选定邦的相对税收效率:一种误差修正方法

IF 1.3 Q1 AREA STUDIES Millennial Asia Pub Date : 2023-06-26 DOI:10.1177/09763996231157048
D. K. Srivastava, M. Bharadwaj, T. Kapur, R. Trehan
{"title":"估计印度选定邦的相对税收效率:一种误差修正方法","authors":"D. K. Srivastava, M. Bharadwaj, T. Kapur, R. Trehan","doi":"10.1177/09763996231157048","DOIUrl":null,"url":null,"abstract":"We estimate state-level tax efficiency in India using an error correction framework, making a distinction between a long-term cointegrating relationship and a short-term dynamics around it. We use a stochastic frontier approach in a panel data framework considering 17 medium and large (ML) states for the period 2004–2005 to 2019–2020. We find that the FC14’s initiative to sharply increase the states’ share in the divisible pool of central taxes had an adverse impact on states’ own tax revenues. The short-term relationship converges to the long-term relationship in 2.6 years. In terms of relative tax effort, the most efficient state was Tamil Nadu, while the least efficient was Bihar. Results from this study would be useful in averting the problem of adverse incentives, while determining the intergovernmental transfers. In the post-GST scenario, operating at their tax efficiency frontier would be critical for states especially in the light of discontinuation of the GST compensation cess.","PeriodicalId":41791,"journal":{"name":"Millennial Asia","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating Relative Tax Efficiency for Selected States in India: An Error Correction Approach\",\"authors\":\"D. K. Srivastava, M. Bharadwaj, T. Kapur, R. Trehan\",\"doi\":\"10.1177/09763996231157048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We estimate state-level tax efficiency in India using an error correction framework, making a distinction between a long-term cointegrating relationship and a short-term dynamics around it. We use a stochastic frontier approach in a panel data framework considering 17 medium and large (ML) states for the period 2004–2005 to 2019–2020. We find that the FC14’s initiative to sharply increase the states’ share in the divisible pool of central taxes had an adverse impact on states’ own tax revenues. The short-term relationship converges to the long-term relationship in 2.6 years. In terms of relative tax effort, the most efficient state was Tamil Nadu, while the least efficient was Bihar. Results from this study would be useful in averting the problem of adverse incentives, while determining the intergovernmental transfers. In the post-GST scenario, operating at their tax efficiency frontier would be critical for states especially in the light of discontinuation of the GST compensation cess.\",\"PeriodicalId\":41791,\"journal\":{\"name\":\"Millennial Asia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Millennial Asia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/09763996231157048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AREA STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Millennial Asia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09763996231157048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AREA STUDIES","Score":null,"Total":0}
引用次数: 0

摘要

我们使用纠错框架估计了印度的州级税收效率,区分了长期协整关系和围绕它的短期动态。我们在面板数据框架中使用了随机前沿方法,考虑了2004-2005年至2019-2020年期间的17个中型和大型(ML)州。我们发现,FC14大幅增加各州在中央税可分割池中的份额的举措对各州自身的税收产生了不利影响。短期关系在2.6年后收敛为长期关系。就相对税收努力而言,效率最高的州是泰米尔纳德邦,而效率最低的州是比哈尔邦。这项研究的结果将有助于避免不利激励的问题,同时确定政府间转移。在商品及服务税后的情况下,在其税收效率边界运营对各州来说至关重要,尤其是在商品及消费税补偿税终止的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Estimating Relative Tax Efficiency for Selected States in India: An Error Correction Approach
We estimate state-level tax efficiency in India using an error correction framework, making a distinction between a long-term cointegrating relationship and a short-term dynamics around it. We use a stochastic frontier approach in a panel data framework considering 17 medium and large (ML) states for the period 2004–2005 to 2019–2020. We find that the FC14’s initiative to sharply increase the states’ share in the divisible pool of central taxes had an adverse impact on states’ own tax revenues. The short-term relationship converges to the long-term relationship in 2.6 years. In terms of relative tax effort, the most efficient state was Tamil Nadu, while the least efficient was Bihar. Results from this study would be useful in averting the problem of adverse incentives, while determining the intergovernmental transfers. In the post-GST scenario, operating at their tax efficiency frontier would be critical for states especially in the light of discontinuation of the GST compensation cess.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Millennial Asia
Millennial Asia AREA STUDIES-
CiteScore
4.50
自引率
12.50%
发文量
33
期刊介绍: Millennial Asia: An International Journal of Asian Studies is a multidisciplinary, refereed biannual journal of the Association of Asia Scholars (AAS)–an association of the alumni of the Asian Scholarship Foundation (ASF). It aims to encourage multifaceted, multidisciplinary and interdisciplinary research on Asia, in order to understand its fast changing context as a growth pole of global economy. By providing a forum for Asian scholars situated globally, it promotes dialogue between the global academic community, civil society and policy makers on Asian issues. The journal examines Asia on a regional and comparative basis, emphasizing patterns and tendencies that go beyond national borders and are globally relevant. Modern and contemporary Asia has witnessed dynamic transformations in cultures, societies, economies and political institutions, among others. It confronts issues of collective identity formation, ecological crisis, rapid economic change and resurgence of religion and communal identifies while embracing globalization. An analysis of past experiences can help produce a deeper understanding of contemporary change. In particular, the journal is interested in locating contemporary changes within a historical perspective, through the use of interdisciplinary and multidisciplinary approaches. This way, it hopes to promote comparative studies involving Asia’s various regions. The journal brings out both thematic and general issues and the thrust areas are: Asian integration, Asian economies, sociology, culture, politics, governance, security, development issues, arts and literature and any other such issue as the editorial board may deem fit. The core fields include development encompassing agriculture, industry, regional trade, social sectors like health and education and development policy across the region and in specific countries in a comparative perspective.
期刊最新文献
Healthcare Expenditure, Health Outcomes and Economic Growth: A Study of BRICS Countries Effect of Technical NTMs on Indian Exports to ASEAN: What Role Do Logistics and Governance Capabilities Play? Unravelling the Dynamics of Landscape Changes and Climate-sensitive Diseases in Kuttanad Wetland Ecosystem, India Navigating the Silver Seas of Ageing: A Phenomenological Study on Life Course Impacts on Older Adults in Senior Living Facilities Politics of Infrastructural Developmentalism: A Spatial Reading of the Colombo Port City Project
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1